Construction of Regional Circular Economy Development Prediction Model Based on AHP-FCE Algorithm

Abstract

The goal of circular economy is to save energy and reduce emissions. It is a new economic development mode of comprehensive development, full utilization of resources, waste reuse and energy-saving production. The development of circular economy needs to consider regional differences in economy, society, environment, resources, etc. This paper uses AHP-FCE method to build the evaluation index system of regional circular economy development, so as to measure the actual situation of regional circular economy development. On this basis, in order to predict the future development trend of circular economy based on historical evaluation index, we utilize the grey theory to build the prediction model. After inputting the original data into the model, we can get the forecast value of the circular economy development level of province A from 2022 to 2024. The prediction result shows that, although the growth rate of circular economy in A Province has basically stagnated from 2018 to 2021, it will enter the development stage in the next three years.